Results 111 to 120 of about 22,146 (252)
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Shannon's information is not entropy
Abstract Contrary to the widespread belief, Shannon's information and entropy are not in general equivalent. The purpose of this Letter is to discuss their conceptual difference and to pinpoint to mathematical reason for this. This fact is further illustrated through a toy model consisting of a harmonic oscillator in a coherent state, showing ...
openaire +2 more sources
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Shannon Entropy of Laguerre-Gaussian Correlated Schell-Model Beams in Underwater Turbulence
This study examines the evolution of Shannon entropy, a key measure of uncertainty and disorder, in a Laguerre-Gaussian correlated Schell-model (LGcSM) beam under ocean turbulence.
Zhiyuan Hu +5 more
doaj +1 more source
Abstract Premise Changing climates are leading to more frequent and severe heat waves, potentially threatening plant populations. Both acclimation to stress and selection for heat‐escape or heat‐resistance phenotypes occur during heat waves. However, plastic responses and selection do not necessarily interact cohesively—even producing trait responses ...
Lana F. Gaspard +4 more
wiley +1 more source
We present a somewhat different way of looking on Shannon entropy. This leads to an axiomatisation of Shannon entropy that is essentially equivalent to that of Fadeev. In particular we give a new proof of Fadeev theorem.
openaire +2 more sources
Abstract This article examines the psychological effects of migration detention in the European Union's Closed Controlled Access Center (CCAC) on Samos through an ecological lens. It explores a double normalization of suffering: the brutalization of necropolitical migration governance and the simultaneous understanding of resulting distress as an ...
Julia Manek
wiley +1 more source

